Matteo Manca (13 results)

Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condition: New.

Condition: NEW.

Paperback. Condition: New.

Taschenbuch. Condition: Neu. Mining User Behavior in Social Environments | Matteo Manca (u. a.) | Taschenbuch | 116 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659684593 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Paperback. Condition: New.

Paperback. Condition: New.

Condition: Sehr gut. Zustand: Sehr gut | Sprache: Italienisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Condition: Sehr gut. Sehr gut. XVI, 293; [488]; [498] SS. Illustr. OKartonage mit OUmschlag . 3 Bände, so vollständig. Umschläge wenig bestoßen, ansonsten sehr gut erhalten. Sammelband zum internationalen Kongress in Bergamo (4.-7. Juni 1987) über Giovanni Morelli (1816-1891), Kunsthistoriker und eine der schillerndsten Persönlichkeiten des Italiens des 19. Jahrhunderts., und die Kultur der Kenner. Mit 156 s/w-Abbildungen im Abbildungsband. Kongressakte, Kunstsammler, Kunsthistoriker, Mailand, neunzehntes Jahrhundert. 3200 Gramm. Illustr. OKartonage mit OUmschlag.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The growth of the Web 2.0 has brought to a widespread use of social media systems and to an increasing number of active users. This phenomenon implies that each user interacts with too many users and is overwhelmed by a huge amount of content, leading to the well know social interaction overload problem. In order to address this problem several research communities study Social Recommender Systems, which are information filtering systems that operate in the social media domain and aim at suggesting to the users items that are supposed to be interesting for them. This book proposes some social recommendation approaches based on the mining of the user behavior, i.e., on the exploitation of the activity of the users in social environments, in order to produce accurate and up-to-date recommendations. 116 pp. Englisch.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Manca MatteoMatteo Manca earned his Ph.D. in CS from the University of Cagliari in May 2014. His interests include Social Recommender Systems and Machine Learning. Ludovico Boratto is a postdoc of the University of Cagliari. His inte.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The growth of the Web 2.0 has brought to a widespread use of social media systems and to an increasing number of active users. This phenomenon implies that each user interacts with too many users and is overwhelmed by a huge amount of content, leading to the well know 'social interaction overload' problem. In order to address this problem several research communities study Social Recommender Systems, which are information filtering systems that operate in the social media domain and aim at suggesting to the users items that are supposed to be interesting for them. This book proposes some social recommendation approaches based on the mining of the user behavior, i.e., on the exploitation of the activity of the users in social environments, in order to produce accurate and up-to-date recommendations.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 116 pp. Englisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The growth of the Web 2.0 has brought to a widespread use of social media systems and to an increasing number of active users. This phenomenon implies that each user interacts with too many users and is overwhelmed by a huge amount of content, leading to the well know social interaction overload problem. In order to address this problem several research communities study Social Recommender Systems, which are information filtering systems that operate in the social media domain and aim at suggesting to the users items that are supposed to be interesting for them. This book proposes some social recommendation approaches based on the mining of the user behavior, i.e., on the exploitation of the activity of the users in social environments, in order to produce accurate and up-to-date recommendations.